Synergy of Lip-Motion and Acoustic Features in Biometric Speech and Speaker Recognition
Artikel i vetenskaplig tidskrift, 2007

This paper presents the scheme and evaluation of a robust audio-visual digit-and-speaker-recognition system using lip motion and speech biometrics. Moreover, a liveness verification barrier based on a person’s lip movement is added to the system to guard against advanced spoofing attempts such as replayed videos. The acoustic and visual features are integrated at the feature level and evaluated first by a Support Vector Machine for digit and speaker identification and, then, by a Gaussian Mixture Model for speaker verification. Based on % 300 different personal identities, this paper represents, to our knowledge, the first extensive study investigating the added value of lip motion features for speaker and speech-recognition applications. Digit recognition and person-identification and verification experiments are conducted on the publicly available XM2VTS database showing favorable results (speaker verification is 98 percent, speaker identification is 100 percent, and digit identification is 83 percent to 100 percent).

lip motion


lip reading

normal image velocity


speaker recognition


motion estimation

Speech recognition

normal image flow


Maycel Isaac Faraj

Chalmers, Signaler och system

Josef Bigun

Chalmers, Signaler och system

IEEE Transactions on Computers

0018-9340 (ISSN)

Vol. 56 9 6-


Datorseende och robotik (autonoma system)

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